Real-time demonstration of a mHealth app designed to reduce college students hazardous drinking.

Heavy alcohol use is a serious health issue in the United States with consequences such as illness, injury, and death. College students are among the most vulnerable to problems associated with risky drinking. This demographic is known as the Net Generation because members have grown up with digital technologies such as smartphones and apps. Thus, mobile health (mHealth) applications, successful in the delivery of health information and interventions to tech-savvy individuals, are a promising means of reaching them. To that end, we developed a smartphone application (SmarTrek) that targets college students and aims to reduce risky alcohol use. SmarTrek features are easy to use and have interactive components including text messages that incorporate motivational interviewing and ecological momentary interventions. We conducted iterative theater testing, field testing, and focus groups to evaluate the acceptability of SmarTrek with college students. We identified salient issues that might arise from SmarTrek use and modified the app based on feedback from participants. Participants were assigned to 2 groups (Group 1 [n = 4] and Group 2 [n = 6]). At baseline, participants completed 2 standardized surveys. Following their field testing, each group of participants was then invited to a focus group session of the app in which they provided feedback. The majority of participants (90%) agreed that SmarTrek was easy to use and that the information provided was useful and had a positive effect on decreasing their drinking. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

REMIT: Development of a mHealth theory-based intervention to decrease heavy episodic drinking among college students.

mHealth apps are an effective means of delivering health interventions, and the college-age population is particularly proficient at using apps. Informed by current theories of Ecological Momentary Interventions (EMI), Motivational Interviewing (MI), and the Transtheoretical Model (TTM) of Change, investigators have developed a self-monitoring app-Reductions through Ecological Momentary/Motivational Intervention/Transtheoretical (REMIT)-with the aim of reducing hazardous drinking among college students. The app was developed using the Integrate, Design, Assess, and Share (IDEAS) framework. This step-by-step process for developing digital behavior change interventions was conducted in five phases to: (1) understand the users, (2) determine target behavior, (3) base the intervention in behavioral theory; (4) create delivery strategies, and (5) develop the REMIT prototype. REMIT uses assessments (informed by EMI) and components of MI and TTM to guide administration of nine modules designed to engage users in reducing alcohol use and related problems. REMIT users self-monitor their alcohol consumption and develop strategies to change drinking behaviors using a range of easy-to-use features, such as the Virtual Coach, automated text messages, interactive gaming mechanisms (gamification), drink consumption tracking, and Blood Alcohol Concentration (BAC) calculators. mHealth interventions have been shown to reduce alcohol use among college students when they are applied in real-life, real-time contexts. REMIT is a theory-based app that incorporates user-friendly features to reduce hazardous drinking among college students. The next step is to conduct a pilot trial to test the efficacy of the app and enhance the REMIT prototype.

Systematic review of surveillance by social media platforms for illicit drug use.

Background: The use of social media (SM) as a surveillance tool of global illicit drug use is limited. To address this limitation, a systematic review of literature focused on the ability of SM to better recognize illicit drug use trends was addressed. Methods: A search was conducted in databases: PubMed, CINAHL via Ebsco, PsychINFO via Ebsco, Medline via Ebsco, ERIC, Cochrane Library, Science Direct, ABI/INFORM Complete and Communication and Mass Media Complete. Included studies were original research published in peer-reviewed journals between January 2005 and June 2015 that primarily focused on collecting data from SM platforms to track trends in illicit drug use. Excluded were studies focused on purchasing prescription drugs from illicit online pharmacies. Results: Selected studies used a range of SM tools/applications, including message boards, Twitter and blog/forums/platform discussions. Limitations included relevance, a lack of standardized surveillance systems and a lack of efficient algorithms to isolate relevant items. Conclusion: Illicit drug use is a worldwide problem, and the rise of global social networking sites has led to the evolution of a readily accessible surveillance tool. Systematic approaches need to be developed to efficiently extract and analyze illicit drug content from social networks to supplement effective prevention programs.